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Adapting TPC-C Benchmark to Measure Performance of Multi-Document Transactions in MongoDB

Summary: Adapts TPC-C’s relational workload and semantics to benchmark MongoDB multi-document ACID transactions, rather than defining a new workload. Shows MongoDB-native denormalized schemas outperform the mandated normalized design; releases code and validation scripts for reproducibility. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12132
Venue
VLDB
Year
2019
Pagerank
5.6544257e-05
Overall Rank
7,288 | 50.00%
DOI
10.14778/3352063.3352140

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{kamsky_vldb19,
        title = {{Adapting TPC-C Benchmark to Measure Performance of Multi-Document Transactions in MongoDB}},
        author = {Kamsky, Asya},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {12},
        pages = {2254--2262},
        doi = {10.14778/3352063.3352140},
        url = {https://doi.org/10.14778/3352063.3352140},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,481 eXtreme Modelling in Practice 2020 VLDB 5.6078973e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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